scholarly journals Cross-polarization geophysical model function for C-band radar backscattering from the ocean surface and wind speed retrieval

2015 ◽  
Vol 120 (2) ◽  
pp. 893-909 ◽  
Author(s):  
Paul A. Hwang ◽  
Ad Stoffelen ◽  
Gerd-Jan van Zadelhoff ◽  
William Perrie ◽  
Biao Zhang ◽  
...  
Keyword(s):  
Wind Speed ◽  
Ocean Surface ◽  
Cross Polarization ◽  
Model Function ◽  
Geophysical Model ◽  
Geophysical Model Function ◽  
Radar Backscattering

scholarly journals A C-band cross polarization geophysical model function

2015 ◽  
Author(s):  
Paul A. Hwang ◽  
Ad Stoffelen ◽  
Gerd-Jan van Zadelhoff ◽  
William Perrie ◽  
Biao Zhang ◽  
...  
Keyword(s):  
Cross Polarization ◽  
Model Function ◽  
Geophysical Model ◽  
Geophysical Model Function

A Geophysical Model Function for S‐Band Reflectometry of Ocean Surface Winds in Tropical Cyclones

2019 ◽  
Vol 46 (16) ◽  
pp. 9843-9850
Author(s):  
Han Zhang ◽  
James L. Garrison ◽  
Rozaine Wijekularatne ◽  
James Warnecke
Keyword(s):  
Tropical Cyclones ◽  
Ocean Surface ◽  
Surface Winds ◽  
Model Function ◽  
Geophysical Model ◽  
Ocean Surface Winds ◽  
Geophysical Model Function

A Scatterometer Geophysical Model Function for Climate-Quality Winds: QuikSCAT Ku-2011

2015 ◽  
Vol 32 (10) ◽  
pp. 1829-1846 ◽  
Author(s):  
Lucrezia Ricciardulli ◽  
Frank J. Wentz
Keyword(s):  
Wind Speed ◽  
Numerical Models ◽  
Climate Data ◽  
Model Function ◽  
Multiple Sensors ◽  
Wind Speeds ◽  
Geophysical Model ◽  
Data Record ◽  
Geophysical Model Function ◽  
Climate Data Record

AbstractSpace-based observations of ocean surface winds have been available for more than 25 years. To combine the observations from multiple sensors into one record with the accuracy required for climate studies requires a consistent methodology and calibration standard for the various instruments. This study describes a new geophysical model function (GMF) specifically developed for preparing the QuikSCAT winds to serve as a backbone of an ocean vector wind climate data record. This paper describes the methodology used and presents the quality of the reprocessed winds. The new Ku-2011 model function was developed using WindSat winds as a calibration truth. An extensive validation of the Ku-2011 winds was performed that focused on 1) proving the consistency of satellite winds from different sensors at all wind speed regimes; 2) exploring and understanding possible sources of bias in the QuikSCAT retrievals; 3) validating QuikSCAT wind speeds versus in situ observations, and comparing observed wind directions versus those from numerical models; 4) comparing satellite observations of high wind speeds with measurements obtained from aircraft flying into storms; 5) analyzing case studies of satellite-based observations of winds in tropical storms; and 6) illustrating how rain impacts QuikSCAT wind speed retrievals. The results show that the reprocessed QuikSCAT data are greatly improved in both speed and direction at high winds. Finally, there is a discussion on how these QuikSCAT results fit into a long-term effort toward creating a climate data record of ocean vector winds.

scholarly journals Aquarius geophysical model function and combined active passive algorithm for ocean surface salinity and wind retrieval

2014 ◽  
Vol 119 (8) ◽  
pp. 5360-5379 ◽  
Author(s):  
Simon Yueh ◽  
Wenqing Tang ◽  
Alexander Fore ◽  
Akiko Hayashi ◽  
Yuhe T. Song ◽  
...  
Keyword(s):  
Ocean Surface ◽  
Model Function ◽  
Surface Salinity ◽  
Wind Retrieval ◽  
Geophysical Model ◽  
Geophysical Model Function

scholarly journals A Geophysical Model Function for Wind Speed Retrieval From C-Band HH-Polarized Synthetic Aperture Radar

2019 ◽  
Vol 16 (10) ◽  
pp. 1521-1525 ◽  
Author(s):  
Biao Zhang ◽  
Alexis Mouche ◽  
Yiru Lu ◽  
William Perrie ◽  
Guosheng Zhang ◽  
...  
Keyword(s):  
Wind Speed ◽  
Synthetic Aperture Radar ◽  
Synthetic Aperture ◽  
Model Function ◽  
Geophysical Model ◽  
Geophysical Model Function ◽  
Aperture Radar
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